Changes in the Flavor Profile of Ground Beef Resulting from the Application of Antimicrobial Interventions

Swenson, J.; Nair, Mahesh N.; Hernandez-Sintharakao, Michael J.; Geornaras, Ifigenia; Engle, T. E.; Belk, K. E.; Woerner, D. R.

doi:10.22175/mmb.13495

Cited by 1 publication

(1 citation statement)

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“…The latter also depends on sensory properties determining the palatability of meat products, related to the combination of tenderness, juiciness, and flavor. Hernandez-Sintharakao et al proposed three statistical models to distinguish tender from tough meat, dry from juicy meat, and positive from off-flavors, obtaining prediction rates in the range of 74%-95%, depending on the employed statistical approach [81]. The relatively low accuracy was ascribed to the inability of REIMS to detect intact proteins, which affect these physical attributes.…”

Section: Ensuring Food Safety and Qualitymentioning

confidence: 99%

Rapid evaporative ionization mass spectrometry: A survey through 15 years of applications

Cafarella,

Mangraviti,

Rigano

et al. 2024

J of Separation Science

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Rapid evaporative ionization mass spectrometry (REIMS) is a relatively recent MS technique explored in many application fields, demonstrating high versatility in the detection of a wide range of chemicals, from small molecules (phenols, amino acids, di‐ and tripeptides, organic acids, and sugars) to larger biomolecules, that is, phospholipids and triacylglycerols. Different sampling devices were used depending on the analyzed matrix (liquid or solid), resulting in distinct performances in terms of automation, reproducibility, and sensitivity. The absence of laborious and time‐consuming sample preparation procedures and chromatographic separations was highlighted as a major advantage compared to chromatographic methods. REIMS was successfully used to achieve a comprehensive sample profiling according to a metabolomics untargeted analysis. Moreover, when a multitude of samples were available, the combination with chemometrics allowed rapid sample differentiation and the identification of discriminant features. The present review aims to provide a survey of literature reports based on the use of such analytical technology, highlighting its mode of operation in different application areas, ranging from clinical research, mostly focused on cancer diagnosis for the accurate identification of tumor margins, to the agri‐food sector aiming at the safeguard of food quality and security.

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Section: Ensuring Food Safety and Qualitymentioning

confidence: 99%